EA Technical AI ML

Area(s) of responsibility

About Birlasoft

Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

• About the Job –Proficiency in Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).
  
  

i. Knowledge of the leading LLMs. Fine-tuning models using Python libraries like Hugging Face Transformers or OCIs SDK to adapt them for domain-specific tasks

• Job Title – AI/ML Developer
• Location: Bachelors degree in Computer Science, Information Technology, or related field.
• Educational Background – Any Graduate or PG
• Key Responsibilities –
  
  

JOB DESCRIPTION - AI / ML Engineer

Proficiency in Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).

i. Knowledge of the leading LLMs. Fine-tuning models using Python libraries like Hugging Face Transformers or OCIs SDK to adapt them for domain-specific tasks

ii. NLP skills like sentiment analysis, entity extraction, and text classification

iii. RAG expertise – Understanding of Vectorization, embeddings. Working with OpenSearch, leveraging Oracle Database 23ais vector capabilities.Experience with Prompt Engineering, Content Moderation Guardrails, and Handling Context Retention in Multi-Turn Interaction

iv. Advanced prompt engineering techniques, such as chain-of-thought prompting

v. Content Moderation: PII detection, toxicity scoring, custom filters

vi. Context Retention: expertise in managing session states, Redis Caching, multi – turn conversations.Tools Orchestration, Function Calling, Custom API Endpoints, SQL Tools for Database Queries, and Agent Networks for Multi-Stage Workflows

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